青藏高原不同增温幅度、CO2加富情景下高寒植被物候相机数据（2018）

植被物候直接反映了植被生理生态过程对环境变化的响应，在气候变化研究中受到了越来越多的关注，并形成了不同的物候观测技术和指标提取方法。在景观或更小尺度上自动化观测分析植被物候的演化是对大尺度遥感分析和单株植物人工观测的有效补充。该数据集是那曲通量站点（31.64°N 92.01°E, 4598 m a.s.l.）2018年生长季阶段不同梯度增温平台以及CO2加富试验观测的物候相机数据，为原始视频数据（avi格式）。

Vegetation phenology directly reflects the responses of vegetation physiological and ecological processes to environmental changes, which has garnered growing attention in climate change research and spurred the development of diverse phenology observation techniques and index extraction methods. Automated observation and analysis of vegetation phenology dynamics at landscape or finer scales provide an effective complement to large-scale remote sensing analyses and manual observations of individual plants. This dataset comprises phenocamera data collected during the 2018 growing season at the Naqu Flux Site (31.64°N, 92.01°E, 4598 m a.s.l.), which were obtained from experiments utilizing platforms with varying warming gradients and CO2 enrichment treatments. All data are raw video files in AVI format.